A Taxonomy of Database Operations on Mobile Devices

2009 ◽  
pp. 1235-1256 ◽  
Author(s):  
Say Ying Lim ◽  
David Tainar ◽  
Bala Srinivasan
Keyword(s):  
Mobile Devices ◽  
Extensive Study ◽  
Post Processing ◽  
Crucial Aspect ◽  
Mobile Environment ◽  
Mobile Location ◽  
Processing Data ◽  
Set Operations ◽  
Database Operations ◽  
Small Screen

In this chapter, we present an extensive study of database operations on mobile devices which provides an understanding and direction for processing data locally on mobile devices. Generally, it is not efficient to download everything from the remote databases and display on a small screen. Also in a mobile environment, where users move when issuing queries to the servers, location has become a crucial aspect. Our taxonomy of database operations on mobile devices mainly consists of on-mobile join operations and onmobile location dependent operations. For the on-mobile join operation, we include pre- and post-processing whereas for on-mobile location dependent operations, we focus on set operations arise from location-dependent queries.

A Taxonomy of Database Operations on Mobile Devices

2010 ◽  
pp. 829-849
Author(s):  
Say Ying Lim
Keyword(s):  
Mobile Devices ◽  
Extensive Study ◽  
Post Processing ◽  
Crucial Aspect ◽  
Mobile Environment ◽  
Mobile Location ◽  
Processing Data ◽  
Set Operations ◽  
Database Operations ◽  
Small Screen

In this chapter, we present an extensive study of database operations on mobile devices which provides an understanding and direction for processing data locally on mobile devices. Generally, it is not efficient to download everything from the remote databases and display on a small screen. Also in a mobile environment, where users move when issuing queries to the servers, location has become a crucial aspect. Our taxonomy of database operations on mobile devices mainly consists of on-mobile join operations and on-mobile location dependent operations. For the on-mobile join operation, we include pre- and post-processing whereas for on-mobile location dependent operations, we focus on set operations arise from location-dependent queries.

A Taxonomy of Database Operations on Mobile Devices

2011 ◽  
pp. 49-70
Author(s):  
Say Ying Lim ◽  
David Taniar ◽  
Bala Srinivasan
Keyword(s):  
Mobile Devices ◽  
Extensive Study ◽  
Post Processing ◽  
Crucial Aspect ◽  
Mobile Environment ◽  
Mobile Location ◽  
Processing Data ◽  
Set Operations ◽  
Database Operations ◽  
Small Screen

In this chapter, we present an extensive study of database operations on mobile devices which provides an understanding and direction for processing data locally on mobile devices. Generally, it is not efficient to download everything from the remote databases and display on a small screen. Also in a mobile environment, where users move when issuing queries to the servers, location has become a crucial aspect. Our taxonomy of database operations on mobile devices mainly consists of on-mobile join operations and on-mobile location dependent operations. For the on-mobile join operation, we include pre- and post-processing whereas for on-mobile location dependent operations, we focus on set operations arise from location-dependent queries.

A Taxonomy of Database Operations on Mobile Devices

2009 ◽  
pp. 350-371
Author(s):  
Say Ying Lim ◽  
David Taniar ◽  
Bala Srinivasan
Keyword(s):  
Mobile Devices ◽  
Extensive Study ◽  
Post Processing ◽  
Crucial Aspect ◽  
Mobile Environment ◽  
Mobile Location ◽  
Processing Data ◽  
Set Operations ◽  
Database Operations ◽  
Small Screen

In this chapter, we present an extensive study of database operations on mobile devices which provides an understanding and direction for processing data locally on mobile devices. Generally, it is not efficient to download everything from the remote databases and display on a small screen. Also in a mobile environment, where users move when issuing queries to the servers, location has become a crucial aspect. Our taxonomy of database operations on mobile devices mainly consists of on-mobile join operations and onmobile location dependent operations. For the on-mobile join operation, we include pre- and post-processing whereas for on-mobile location dependent operations, we focus on set operations arise from location-dependent queries.

scholarly journals Detecting Colluding Inter-App Communication in Mobile Environment

2020 ◽  
Vol 10 (23) ◽  
pp. 8351
Author(s):  
Rosangela Casolare ◽  
Fabio Martinelli ◽  
Francesco Mercaldo ◽  
Antonella Santone
Keyword(s):  
Model Checking ◽  
Mobile Devices ◽  
Private Information ◽  
End Users ◽  
Home Automation ◽  
Mobile Environment ◽  
Data Support ◽  
Bank Transfer ◽  
Android Applications

The increase in computing capabilities of mobile devices has, in the last few years, made possible a plethora of complex operations performed from smartphones and tablets end users, for instance, from a bank transfer to the full management of home automation. Clearly, in this context, the detection of malicious applications is a critical and challenging task, especially considering that the user is often totally unaware of the behavior of the applications installed on their device. In this paper, we propose a method to detect inter-app communication i.e., a colluding communication between different applications with data support to silently exfiltrate sensitive and private information. We based the proposed method on model checking, by representing Android applications in terms of automata and by proposing a set of logic properties to reduce the number of comparisons and a set of logic properties automatically generated for detecting colluding applications. We evaluated the proposed method on a set of 1092 Android applications, including different colluding attacks, by obtaining an accuracy of 1, showing the effectiveness of the proposed method.

scholarly journals Immersive Mobile Telepresence Systems: A Systematic Literature Review

2020 ◽  
Author(s):  
Rodrigo Luis de Souza da Silva ◽  
Lohan Rodrigues Narcizo Ferreira ◽  
Lidiane Teixeira Pereira
Keyword(s):  
Literature Review ◽  
Mobile Devices ◽  
Systematic Literature Review ◽  
Communication Media ◽  
Mobile Environment ◽  
Remote Collaboration ◽  
Research Opportunities ◽  
Internet Connection

Telepresence can be defined as a system that provides remote collaboration between people in different locations, creating the feeling that both users share in fact the environment. The advances in communication, media and internet, has made possible the popularization of these systems. Smartphones have become increasingly powerful in processing, less expensive and more widespread. A single device combines various sensors, one or more cameras and internet connection, thus a potential hardware for telepresence applications. The main objective of this paper is to present a Systematic Literature Review to identify the main characteristics of immersive telepresence systems designed for mobile environment and to analyze research opportunities that can be further exploited or optimized. This research revealed that the development of immersive telepresence systems for mobile devices has increased in recent years, but is not yet widespread.

Exploring M-Commerce and Social Media

2017 ◽  
pp. 1-21 ◽  
Author(s):  
Panagiota Papadopoulou
Keyword(s):  
Social Media ◽  
Mobile Devices ◽  
Mobile Phones ◽  
Mobile Environment ◽  
Commercial Activity ◽  
Business Opportunities ◽  
Negative Effect ◽  
Similarities And Differences ◽  
Use Of Social Media ◽  
Mobile Context

The proliferation of mobile phones and tablets shape a new arena for online commercial activity with unprecedented opportunities and challenges. In this omnipresent mobile environment, understanding consumer behavior constitutes a challenge for m-commerce vendors, as they seek to understand factors that affect it, positively and negatively, and to integrate social media in their mobile strategy and across mobile devices. This paper presents an exploratory qualitative research examining separately mobile phones and tablets and the use of social media, in the context of m-commerce. The results of our qualitative analysis show important factors for m-commerce and social media adoption and use, highlighting the similarities and differences between mobile phones and tablets. Our qualitative results also reveal factors having a negative effect to m-commerce, for both mobile devices. Business opportunities enabled by social media for m-commerce and how these can be leveraged in this promising multiple-device mobile context are also discussed.

Impact of Applying Aggregate Query Processing in Mobile Commerce

2012 ◽  
Vol 8 (2) ◽  
pp. 1-17
Author(s):  
Say Ying Lim ◽  
Siew Fan Wong
Keyword(s):  
Query Processing ◽  
Mobile Devices ◽  
Communication Cost ◽  
Single Server ◽  
Distributed Environments ◽  
Mobile Environments ◽  
Memory Consumption ◽  
Screen Size ◽  
Aggregate Query ◽  
Small Screen

With the increased usage of mobile devices, society is seeing more and more users doing transactions wirelessly. Often, data from a single server may not be sufficient. Rather, data may need to be manipulated and to be gathered from multiple remote servers before useful information can be formed. Mobile transactions are constrained by small screen size of mobile devices, high communication cost, and high memory consumption. Existing techniques from traditional query processing in distributed environments cannot be directly applied to mobile environments. In this paper, the authors propose techniques for processing mobile queries that address the issue of high memory consumption. A set of walkthrough examples was provided and performances of various techniques were examined. The results show that the technique of first downloading primary keys only from one server and then sending a query to the second server using these primary keys before processing for qualified match in the second server gives the best performance.

An Efficient Information Services-Centric Framework for Commuter

2012 ◽  
Vol 4 (1) ◽  
pp. 22-39
Author(s):  
Wee Siong Ng ◽  
Justin Cheng ◽  
XianJun Wang ◽  
Sivakumar Viswanathan
Keyword(s):  
Mobile Devices ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Spatial Information ◽  
Urban Environments ◽  
Mobile Environment ◽  
Real Time Traffic ◽  
Efficient Information ◽  
Matching Mechanism ◽  
Information Consumers

One of the major objectives of Advanced Traffic Management Systems (ATMS) is to reduce traffic congestion in urban environments by improving the efficiency of utilization of existing transport infrastructures. Many creative and efficient technologies have been developed over the years. Although commuters, especially drivers, take a critical part in containing traffic congestion problems, they are playing a passive role in the traffic-management ecosystem. Considerably, this is due to the information asymmetry between ATMS decision makers and commuters; what is missing is a matching mechanism to create a bridge between information providers and information consumers in the mobile environment. The authors’ solution provides an efficient services-centric framework for delivering pertinent information to commuters. Probe vehicles are used to estimate the real-time traffic flow and disseminate this information effectively to users’ mobile devices. A 2-level indexing scheme is designed to effectively index the grid cells which contain the spatial information and a location-aware mobile application and back-end services are also implemented. Processed information is disseminated to users’ mobile devices through wireless means and presented in a user friendly interface. Experimental results show that this system is scalable and responsive.

Mobile GIS - Challenges and Solutions

2011 ◽  
pp. 793-809
Author(s):  
Pramod Sharma ◽  
Devon Nugent
Keyword(s):  
Wireless Networks ◽  
Mobile Devices ◽  
Location Based Services ◽  
Specific Information ◽  
Positioning Accuracy ◽  
Mobile Gis ◽  
Gis Applications ◽  
Potential Market ◽  
Small Screen Devices ◽  
Small Screen

This chapter focuses on Mobile GIS (MGIS), which uses wireless networks and small screen mobile devices (such as PDAs and smartphones) to collect or deliver real time, location specific information and services. Such services can be divided into field and consumer (location based services) GIS applications. The use of wireless networks and small screen devices, introduce a series of challenges, not faced by desktop or wired internet GIS applications. This chapter discusses the challenges faced by mobile GIS (e.g. small screen, bandwidth, positioning accuracy, interoperability, etc.) and the various means of overcoming these problems, including the rapid advances in relevant technologies. Despite the challenges, many efficient and effective Mobile GIS applications have been developed, offering a glimpse of the potential market.

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